How to Forecast Foreign Exchange Rates

Forecasting foreign exchange rates is a challenging but necessary aspect of currency risk management. There is no single prescribed method for FX forecasting, and it is a difficult task particularly for those who are not engaged in the market on a daily basis. FX forecasting has a relatively low predictive power as uncertainty always remains a factor, but nonetheless each market participant is responsible for developing an educated guess about what direction exchange rates will move in the short, medium, and long term. The following two techniques are used most commonly to generate an FX forecast.

1. Technical Analysis – Technical analysis uses historical market data to predict shorter and longer-term future exchange rate movements, whereby past prices and volume helps serve as a guide for the future.
2. Fundamental Analysis – Fundamental analysis uses current economic indicators to predict future exchange rates, and considers factors such as interest rates, earnings, employment, GDP, housing, and manufacturing among other areas to assess the present state of the economy and help guide the future.

Many market participants use a combination of both technical and fundamental analysis to develop a forecast. Applying these techniques using the euro as an example, a forecaster could use technical analysis by looking at the historical data provided by the Federal Reserve for the Euro/US dollar exchange rate since the introduction of the euro in 1999 to the present day. The forecaster can then observe the range of values, and identify that the high was 1.5759 in July of 2008 and the low was 0.8525 in October of 2000. Given the current euro exchange rate of 1.1800, the forecaster can conclude that the present valuation is towards the lower end of the trading range between 0.8525 and 1.5759 and perhaps is undervalued.

Building upon that premise, a forecaster can then use fundamental analysis to assess the current state of the economy in the Eurozone where the euro is used. If the forecaster anticipates a slowdown in economic growth, sluggish earnings, weaker employment, a decline in housing, manufacturing, and GDP, and a low interest rate environment, then there might be more room for the euro to depreciate. Conversely, if the forecaster expected strong growth in economic activity, healthy earnings, rising employment, positive trends in housing, manufacturing, and GDP, and a corresponding rise in interest rates, then perhaps the euro will appreciate in value.

All forecasts need to be scaled to a specific time frame, and each market participant must use their best judgment to assess how supply and demand factors will impact foreign exchange rates. There are various views and perspectives among market participants that can differ for good and substantive reasons, and the interpretation of how supply and demand factors determine exchange rates and the generation of a FX forecast is more of an art than a science. A sound foreign exchange market forecast can be challenging to develop in house, so some organizations rely on the consensus forecast among experts or research and insight shared by their banking partners or financial institution to help guide them.

To learn more about forecasting foreign exchange rates, sign up for FX Initiative’s currency risk management training for complete access to our educational videos, interactive examples, and live webinar events. We walk you through real-world scenarios and simulated strategies from leading global organization such as Apple to illustrate key learning concepts in a practical and easy to understand format. Foreign exchange is a key component of international business, and FX Initiative can help you mitigate risk and maximize opportunity abroad.

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The FX Initiative Team
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